SummaryThis collection comprises a total of 35 3 Tesla T2-weighted, Diffusion weighted and Dynamic Contrast Enhanced prostate MRI along with accompanying digitized histopathology (H&E and CD34 stained) images of corresponding radical prostatectomy specimens. The MRI scans also have a mapping of extent of prostate cancer on them . Each surgically excised prostate specimen was originally sectioned and quartered resulting in 4 slides for each section. Each of these individual slides was digitized at 20x magnification using an Aperio slide scanner resulting in a set of 4 .tiff images. Each of the 4 .tiff images were then digitally stitched together to constitute a pseudo-whole mount section using the program in . Annotations of cancer presence on the pseudo-whole mount sections were made by an expert pathologist. Slice correspondences were established between the individual T2w MRI and stitched pseudo-whole mount sections by the program in  and checked for accuracy by an expert pathologist and radiologist. Deformable co-registration  was employed to spatially co-registered the corresponding radiologic and histopathologic tissue sections to map disease extent onto the corresponding MRI scans.
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Data collection and analysis was provided by
Anant Madabhushi, PhD, Case Western Reserve University
Michael D. Feldman, MD, PhD, Hospital at the University of Pennsylvania
and supported by NIH R01CA136535.
- Singanamalli, A, Sparks, R, Rusu, M, Shih, N, Ziober, A, Tomaszewski, J, Rosen, M, Feldman, M, Madabhushi, A, “Identifying in vivo DCE MRI markers associated with Microvessel Architecture and Gleason Grades of Prostate Cancer—Preliminary Findings”, Journal of Magnetic Resonance Imaging, doi: 10.1002/jmri.24975. [Epub ahead of print] (PMID:26110513).
- Toth, R, Feldman, M, Yu, D, Tomaszewski, J, Madabhushi, A, “Histostitcher™: An Informatics Software Platform for Reconstructing Whole-Mount Prostate Histology using the Extensible Imaging Platform (XIP™) Framework,” Journal of Pathology Informatics, vol. 5, pg. 8, 2014 (PMID: 24843820, PMCID: PMC4023035).
- Xiao, G, Bloch, N, Chappelow, J, Genega, E, Rofsky, N, Lenkinsky, R, Tomaszewski, J, Feldman, M, Rosen, M, Madabhushi, A, “Determining Histology-MRI Slice Correspondences for Defining MRI-based Disease Signatures of Prostate Cancer,” Special Issue of Computerized Medical Imaging and Graphics on Whole Slide Microscopic Image Processing, vol. 35[7-8], pp. 568-78, 2011 (PMID: 21255974).
- Chappelow, J, Bloch, N., Rofsky, N, Genega, E, Lenkinski, R, DeWolf, W, Madabhushi, A, “Elastic Registration of Multimodal Prostate MRI and Histology via Multi-Attribute Combined Mutual Information,” Medical Physics, vol. 38, pp. 2005-2018, 2011 (PMID: 21626933).
Data Access (Radiology)
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Data Access (Pathology, Matlab objects)
Browse the table below to view reconstructed, annotated whole slide pathology as well as fused Rad-Path matlab objects.
MRI, Pathology, Matlab
Number of Patients
Number of Studies
Number of Series
Number of Images
|Image Size (GB)|
The dataset is most fully described in detail in
Citations & Data Usage Policy
This collection is freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License. See TCIA's Data Usage Policies and Restrictions for additional details. Questions may be directed to firstname.lastname@example.org.
Please be sure to include the following citations in your work if you use this data set:
Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. (paper)
Other Publications Using This Data
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